团队带头人：
毛汉领，博士，二级教授，博士生导师，1995年浙江大学博士毕业。曾从事高校管理工作近20年，主持完成国基项目2项、省级和企业横向课题10多项，获得省级自然科学奖1项、专利10多件、发表学术论文60多篇。
团队主要成员：
黄振峰，教授，硕士导师，1984年华南理工大学本科毕业；
李欣欣，博士、副教授，硕士导师，2008年浙江大学博士毕业；
吴振勇，博士、讲师，2015年上海交通大学博士毕业。
团队联系人：李欣欣
联系人电话：15807714399
联系人邮箱：lixinx@gxu.edu.cn
主要研究方向：
1.金属结构及零件疲劳损伤的非线性检测
2.超声非线性检测的理论及方法
3.机械设备状态监测与故障预示
4.液固气多相耦合状态分析与控制
近5年研究项目：
1、钪基新材料及高纯镓开发与产业应用的分卡：过滤塔优化设计及流程控制（自治区科技重大专项）
2、北部湾珍稀生态系统与生物多样性保护研究与示范的分卡：远程测试及视频监控（自治区科技重大专项）
3、超声导波智能检测系统的研制（自治区科技基地与人才专项）
4、再制造结构件疲劳损伤的非线性评估机理研究（自治区自然科学基金项目）
5、基于空间非线性力双稳态压电振动能量收集器阱深优化及其自适应调节机制研究（自治区自然科学基金项目）
6、基于Volterra级数的旧零件内部损伤非线性检测机理研究（国家自然科学基金）
近5年发表的重要论文：
[1]Hanling Mao*;Qingzhu Li; Hanying Mao; Zhenfeng Huang ;et.al. Nonlinear ultrasonic characterization of carburized case depth[J]. NDT & E International, 2020, 112
[2]Mao Hanling, Zhang Yuhua; Li Xinxin,et.al. Location and Length Measurement of Invisible Fatigue Crack in Metal Components Using Wave Mixing Methods [J]. Journal of Testing and Evaluation, 2019,47(5):3622-3633.
[3]Mao Hanling*, Yi Xiaoxu, Mao, Hanying, et.al. Fatigue damage detection and location of metal materials by electrical impedance tomography[J]. Results in Physics 2019, 15:0-102664.
[4]Qing Shan Duan, Han Ling Mao*, Xin Xin Li,et.al., Experimental study on the static mechanical properties of amilled mixture of sugar cane[J]. Journal of Food Process Engineering, 2018(05):1-7.
[5]Hanling Mao, Yuhua Zhang, Xiaoqian Qin, et.al., Non-linear property analysis of deformed metallic components using a longitudinal critically refracted wave [J]. Insight, 2018, 60(11):626-634.
[6]Hanling Mao, Yuhua Zhang, Xinxin Li*, et.al., Fatigue crack detection and fatigue damage imaging using the non-collinear transverse wave mixing technique[J]. Nondestructive Testing and Evaluation, 2018(10):1-13.
[7]Hanling Mao*, Weili Tang, Yang Huang, et al., The construction and comparison of damage detection index based on the nonlinear output frequency response function and experimental analysis[J]. Journal of Sound and Vibration, 427 (2018): 82-94.
[8]Hanling Mao, Yuhua Zhang*, Hanying Mao, et al., Stress evaluation of metallic material under steady state based on nonlinear critically refracted longitudinal wave[J]. Results in Physics, 9 (2018):665–672.
[9]Zhenyong Wu, Jihua Liao, Wenyan Song*, Hanling Mao, et al., Semantic hyper-graph-based knowledge representation architecture for complex product development[J]. Computers in Industry, 100(2018):43-56.
[10]Honglan Huang, Hanying Mao, Hanling Mao*, et al., Study of cumulative fatigue damage detection for used parts with nonlinear output frequency response functions[J]. Journal of Sound and Vibration, 2017,411:75-87.
[11] Zhang Yuhua, Li Xinxin, Hanling Mao*, Wu Zhenyong, et al. Fatigue Life Prediction of Metallic Materials Based on the Combined Nonlinear Ultrasonic Parameter[J]. Journal of Materials Engineering and Performance, 2017,26(8)：3648-365.
[12]Yuhua Zhang,Hanling Mao*, Xinxin Li, et al. Feasibility of Residual Stress Nondestructive Estimation Usingthe Nonlinear Property of Critical Refraction Longitudinal Wave[J]. Advances in Materials Science and Engineering, 2017(11):0-11.
[13] Wu Zhenyong, Liao Jihua, Song Wenyan，Hanling Mao*, Huang Zhenfeng, Li Xinxin, Mao Hanying. Product lifecycle-oriented knowledge services: Status review, framework, and technology trends[J]. Concurrent Engineering-Research and Applications, 2017,25(1):81-92.
[14]李冰,李欣欣,毛汉领*,黄振峰.基于多孔介质的甘蔗压榨流固耦合分析[J].机械工程学报, 2017,(12):192-200.
[15]刘婷,毛汉领*,黄振峰,毛汉颖.金属材料声发射Kaiser效应的混沌特性分析[J].振动与冲击2017(12):50-54.
[16]黄振峰,刘永坚,毛汉颖,王向红,李欣欣,毛汉领*.基于K熵和关联维数的金属疲劳损伤过程的声发射信号特征分析[J].振动与冲击,2017(15):210-214.
[17]张玉华,李欣欣,黄振峰,毛汉领*.基于混沌分形理论的金属疲劳损伤过程的特征分析[J].振动与冲击, 2017(21):72-77.
[18]毛汉颖,刘畅,刘永坚,毛汉领*.混沌特征量识别切削颤振的试验研究[J].振动与冲击, 2015(16):99-103.
